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Overview
Developer Tools
Travel Time Matrix API
Isochrone API
H3 API
Geohash API
v4/geohash/fast
Endpoint Reference
v4/geohash
Endpoint Reference
Distance Map API
Routes API
Geocoding API
Additional API Reference
Error Handling
ArcGIS plugin
Alteryx plugin
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GitHub Repo

TravelTime Python SDK

PyPI version Unit Tests Python support

The TravelTime Python SDK provides a simple and efficient way to access the TravelTime API, enabling you to calculate travel times and distances, generate isochrones, and perform location-based queries using real-world transportation data.

Features

  • Time Matrix & Filtering: Calculate travel times between multiple origins and destinations
  • Isochrone Generation: Create time-based catchment areas in multiple formats (GeoJSON, WKT)
  • Route Planning: Get detailed turn-by-turn directions between locations
  • Geocoding: Convert addresses to coordinates and vice versa
  • Specialized Analysis: UK postcode analysis, H3 hexagon analysis, and geohash analysis
  • Transportation Modes: Support for driving, public transport, walking, cycling, and multimodal transport
  • Async Support: Both synchronous and asynchronous clients available
  • Performance Options: Fast endpoints for high-volume use cases

Requirements

  • Python 3.9 or higher

To check your Python version:

python --version

Installation

Install the TravelTime Python SDK using pip:

pip install traveltimepy

Getting Started

Authentication

Get your API credentials from the TravelTime Developer Portal.

Basic Usage

from datetime import datetime
from traveltimepy import Client
from traveltimepy.requests.common import Location, Coordinates, Property
from traveltimepy.requests.time_filter import TimeFilterDepartureSearch
from traveltimepy.requests.transportation import PublicTransport
from traveltimepy.errors import TravelTimeApiError

# Define locations
locations = [
    Location(id="London center", coords=Coordinates(lat=51.508930, lng=-0.131387)),
    Location(id="Hyde Park", coords=Coordinates(lat=51.508824, lng=-0.167093)),
    Location(id="ZSL London Zoo", coords=Coordinates(lat=51.536067, lng=-0.153596))
]

# Option 1: Standard usage (manual session management)
client = Client(app_id="YOUR_APP_ID", api_key="YOUR_API_KEY")

try:
    response = client.time_filter(
        locations=locations,
        departure_searches=[
            TimeFilterDepartureSearch(
                id="London center",
                departure_location_id="London center", 
                arrival_location_ids=["Hyde Park", "ZSL London Zoo"],
                departure_time=datetime.now(),
                transportation=PublicTransport(),
                travel_time=1800,  # 30 minutes
                properties=[Property.TRAVEL_TIME]
            )
        ],
        arrival_searches=[]
    )
    
    print(f"Found {len(response.results)} results")
    for result in response.results:
        print(f"Search ID: {result.search_id}")
            
except TravelTimeApiError as e:
    print(e)
finally:
    client.close()  # Manually close session

# Option 2: Context manager (automatic session cleanup)
with Client(app_id="YOUR_APP_ID", api_key="YOUR_API_KEY") as client:
    try:
        response = client.time_filter(
            locations=locations,
            departure_searches=[
                TimeFilterDepartureSearch(
                    id="London center",
                    departure_location_id="London center", 
                    arrival_location_ids=["Hyde Park", "ZSL London Zoo"],
                    departure_time=datetime.now(),
                    transportation=PublicTransport(),
                    travel_time=1800,
                    properties=[Property.TRAVEL_TIME]
                )
            ],
            arrival_searches=[]
        )
        
        print(f"Found {len(response.results)} results")
        for result in response.results:
            print(f"Search ID: {result.search_id}")
            
    except TravelTimeApiError as e:
        print(e)
    # Session automatically closed when exiting 'with' block

Async Usage

import asyncio
from datetime import datetime
from traveltimepy import AsyncClient
from traveltimepy.requests.common import Location, Coordinates
from traveltimepy.requests.time_filter import TimeFilterDepartureSearch
from traveltimepy.requests.transportation import PublicTransport
from traveltimepy.errors import TravelTimeApiError

locations = [
    Location(id="London center", coords=Coordinates(lat=51.508930, lng=-0.131387)),
    Location(id="Hyde Park", coords=Coordinates(lat=51.508824, lng=-0.167093)),
    Location(id="ZSL London Zoo", coords=Coordinates(lat=51.536067, lng=-0.153596))
]

# Option 1: Standard async usage (manual session management)
async def main():
    client = AsyncClient(app_id="YOUR_APP_ID", api_key="YOUR_API_KEY")
    
    try:
        response = await client.time_filter(
            locations=locations,
            departure_searches=[
                TimeFilterDepartureSearch(
                    id="London center",
                    departure_location_id="London center",
                    arrival_location_ids=["Hyde Park", "ZSL London Zoo"],
                    departure_time=datetime.now(),
                    transportation=PublicTransport(),
                    travel_time=1800
                )
            ],
            arrival_searches=[]
        )
        
        print(f"Found {len(response.results)} results")
        for result in response.results:
            print(f"Search ID: {result.search_id}")
            
    except TravelTimeApiError as e:
        print(e)
    finally:
        await client.close()  # Manually close session

# Option 2: Async context manager (automatic session cleanup)
async def main_with_context():
    async with AsyncClient(app_id="YOUR_APP_ID", api_key="YOUR_API_KEY") as client:
        try:
            response = await client.time_filter(
                locations=locations,
                departure_searches=[
                    TimeFilterDepartureSearch(
                        id="London center",
                        departure_location_id="London center",
                        arrival_location_ids=["Hyde Park", "ZSL London Zoo"],
                        departure_time=datetime.now(),
                        transportation=PublicTransport(),
                        travel_time=1800
                    )
                ],
                arrival_searches=[]
            )
            
            print(f"Found {len(response.results)} results")
            for result in response.results:
                print(f"Search ID: {result.search_id}")
                
        except TravelTimeApiError as e:
            print(e)
        # Session automatically closed when exiting 'async with' block

# Run either version
asyncio.run(main())
# or
asyncio.run(main_with_context())

Core Methods

The SDK provides both synchronous (Client) and asynchronous (AsyncClient) versions of all methods:

Time Matrix & Filtering

Isochrone Generation

Route Planning

  • routes() - Calculate detailed routes between locations

Geocoding

Specialized Analysis

Utility Methods

Configuration

The SDK supports various configuration options:

from traveltimepy import Client, AsyncClient

# Synchronous client
client = Client(
    app_id="YOUR_APP_ID",
    api_key="YOUR_API_KEY",
    timeout=300,                    # Request timeout in seconds
    retry_attempts=3,               # Number of retry attempts for 5xx errors
    max_rpm=60,                     # Maximum requests per minute
)

# Asynchronous client
async_client = AsyncClient(
    app_id="YOUR_APP_ID",
    api_key="YOUR_API_KEY",
    timeout=300,
    retry_attempts=3,
    max_rpm=60
)

Error Handling and Retries

The SDK automatically handles both rate limiting and server error retries:

  • Rate limiting: Automatically handled with exponential backoff
  • Server errors (5xx): Automatically retried up to 3 times with immediate retry
  • Client errors (4xx): Not retried (indicates invalid request)

# Retries are built-in - no additional code needed
client = Client(app_id="YOUR_APP_ID", api_key="YOUR_API_KEY")
response = client.time_filter(
    locations=locations,
    departure_searches=searches
)  # Automatically retries on 5xx errors

Configuring Retries

You can configure the number of retry attempts:

# Custom retry attempts
client = Client(
    app_id="YOUR_APP_ID", 
    api_key="YOUR_API_KEY",
    retry_attempts=5  # Will retry up to 5 times on 5xx errors
)

# Disable retries completely
client = Client(
    app_id="YOUR_APP_ID", 
    api_key="YOUR_API_KEY",
    retry_attempts=0  # No retries, fail immediately
)

Examples

The examples/ directory contains practical examples. See examples/README.md for setup instructions and detailed descriptions.

Performance Tips

  • Use *_fast() methods for high-volume use cases
  • Use time_filter_proto() for maximum performance with large datasets
  • Use async methods for I/O-bound applications

Documentation

For comprehensive documentation, including detailed parameter references and advanced usage examples, visit:

Support

If you have questions or need help:

License

This project is licensed under the MIT License - see the LICENSE file for details.